ArticleScientific reports2016
Tracking modern human population history from linguistic and cranial phenotype.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Integrating genetic, historical, and demographic evidence to reconstruct Argentina's matrilineal ancestry.Human genetics · 2026Article
- Bony labyrinth morphology reveals deep population history and isolation among Homo sapiens in prehistoric northeastern Africa (44-3 ka).Nature communications · 2026Article
- Tracing Human Diversity in South America's Southern Cone: Linguistic, Morphometric, and Genetic Perspectives.American journal of biological anthropology · 2025Article
- Semicircular canals shed light on bottleneck events in the evolution of the Neanderthal clade.Nature communications · 2025Article
- Multiple evolutionary pressures shape identical consonant avoidance in the world's languages.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Evolution of Homo in the Middle and Late Pleistocene.Journal of human evolution · 2022Review
- Article
- Assessing the relative impact of historical divergence and inter-group transmission on cultural patterns: a method from evolutionary ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- A serial founder effect model of phonemic diversity based on phonemic loss in low-density populations.PloS one · 2018Article
- Reconstructing human population history from dental phenotypes.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Languages and genes arguably follow parallel evolutionary trajectories, descending from a common source and subsequently differentiating. However, although common ancestry is established within language families, it remains controversial whether language preserves a deep historical signal. To address this question, we evaluate the association between linguistic and geographic distances across 265 language families, as well as between linguistic, geographic, and cranial distances among eleven populations from Africa, Asia, and Australia. We take advantage of differential population history signals reflected by human cranial anatomy, where temporal bone shape reliably tracks deep population history and neutral genetic changes, while facial shape is more strongly associated with recent environmental effects. We show that linguistic distances are strongly geographically patterned, even within widely dispersed groups. However, they are correlated predominantly with facial, rather than temporal bone, morphology, suggesting that variation in vocabulary likely tracks relatively recent events and possibly population contact.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.